article Open AccessTop 1% cited
Learning to Prompt for Vision-Language Models
International Journal of Computer Vision · 2022 · Vol. 130(9) · pp. 2337–2348
Kaiyang Zhou✉(Nanyang Technological University)Jingkang Yang(Nanyang Technological University)Chen Change Loy(Nanyang Technological University)Ziwei Liu(Nanyang Technological University)
Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot LearningTopic ModelingComputer scienceArtificial intelligenceMargin (machine learning)Context (archaeology)Feature learningFeature engineeringFeature (linguistics)Machine learningNatural language processingLanguage model
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Cited by
Learning to Prompt for Vision-Language Models
International Journal of Computer Vision · 2022 · 2,413 citations
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References
Places: A 10 Million Image Database for Scene Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2017 · 3,945 citations
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
ACM Computing Surveys · 2022 · 3,436 citations
Learning to Prompt for Vision-Language Models
International Journal of Computer Vision · 2022 · 2,413 citations
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